Ian Blanes - IEEE Xplore Author Profile
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Ian Blanes

Publications
35
Citations
496
Publications by Year
20092024
Co-Authors:
Show All Co-Authors (41)
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Ian Blanes

Affiliation

Information and Communication Engineering (DEIC)
Universitat Autònoma de Barcelona
Bellaterra, Spain

Publication Topics

Biography

Ian Blanes (ian.blanes@uab.ca) is with the Department of Information and Communications Engineering, Universitat Autònoma de Barcelona, Barcelona, 08193, Spain. He is a Senior Member of IEEE.(Based on document published on 10 February 2021).
Publications
35
Citations
496
Publications by Year
20092024
Co-Authors:
Show All Co-Authors (41)
Author's Published Works

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Resiliency and Efficiency of the CCSDS 124.0-B-1 Telemetry Compression Standard

Miguel Hernández-Cabronero;David Evans;Joan Bartrina-Rapesta;Francesc Aulí-Llinàs;Ian Blanes;Joan Serra-Sagristà

IEEE Access
Year: 2024 | Volume: 12 | Journal Article |
The Consultative Committee for Space Data Systems (CCSDS) recently published a lossless compression standard for housekeeping and telemetry. These data are critical for the safe and productive operation of virtually all remote sensing missions, including Earth observation. The new standard, CCSDS 124.0-B-1 “Robust Compression of Fixed-Length Housekeeping Data,” allows lossless, real-time telemetry...Show More

Resiliency and Efficiency of the CCSDS 124.0-B-1 Telemetry Compression Standard

Miguel Hernández-Cabronero;David Evans;Joan Bartrina-Rapesta;Francesc Aulí-Llinàs;Ian Blanes;Joan Serra-Sagristà

Year: 2024 | Volume: 12 | Journal Article |

Removing Data Dependencies in the CCSDS 123.0-B-2 Predictor Weight Updating

Yubal Barrios;Joan Bartrina-Rapestà;Miguel Hernández-Cabronero;Antonio Sánchez;Ian Blanes;Joan Serra-Sagrista;Roberto Sarmiento

IEEE Geoscience and Remote Sensing Letters
Year: 2024 | Volume: 21 | Journal Article |
Cited by: Papers (1)
The Consultative Committee for Space Data Systems (CCSDS) first standardized near-lossless coding capabilities in the CCSDS 123.0-B-2 algorithm. However, this standard does not describe strategies to produce high-throughput hardware implementations, which are not trivial to derive from its definition. At the same time, throughput optimizations without significant compression performance penalties ...Show More

Removing Data Dependencies in the CCSDS 123.0-B-2 Predictor Weight Updating

Yubal Barrios;Joan Bartrina-Rapestà;Miguel Hernández-Cabronero;Antonio Sánchez;Ian Blanes;Joan Serra-Sagrista;Roberto Sarmiento

Year: 2024 | Volume: 21 | Journal Article |

Reducing Data Dependencies in the Feedback Loop of the CCSDS 123.0-B-2 Predictor

Antonio Sánchez;Ian Blanes;Yubal Barrios;Miguel Hernández-Cabronero;Joan Bartrina-Rapesta;Joan Serra-Sagristà;Roberto Sarmiento

IEEE Geoscience and Remote Sensing Letters
Year: 2022 | Volume: 19 | Journal Article |
Cited by: Papers (4)
On-board multi- and hyperspectral instruments acquire large volumes of data that need to be processed with the limited computational and storage resources. In this context, the Consultative Committee for Space Data Systems (CCSDS) 123.0-B-2 standard emerges as an interesting option to compress multi- and hyperspectral images on-board satellites, supporting both lossless and near-lossless compressi...Show More

Reducing Data Dependencies in the Feedback Loop of the CCSDS 123.0-B-2 Predictor

Antonio Sánchez;Ian Blanes;Yubal Barrios;Miguel Hernández-Cabronero;Joan Bartrina-Rapesta;Joan Serra-Sagristà;Roberto Sarmiento

Year: 2022 | Volume: 19 | Journal Article |

Fast Run-Length Compression of Point Cloud Geometry

Dion E. O. Tzamarias;Kevin Chow;Ian Blanes;Joan Serra-Sagristà

IEEE Transactions on Image Processing
Year: 2022 | Volume: 31 | Journal Article |
Cited by: Papers (11)
The increase in popularity of point-cloud-oriented applications has triggered the development of specialized compression algorithms. In this paper, a novel algorithm is developed for the lossless geometry compression of voxelized point clouds following an intra-frame design. The encoded voxels are arranged into runs and are encoded through a single-pass application directly on the voxel domain. Th...Show More

Fast Run-Length Compression of Point Cloud Geometry

Dion E. O. Tzamarias;Kevin Chow;Ian Blanes;Joan Serra-Sagristà

Year: 2022 | Volume: 31 | Journal Article |

Performance Improvement on k²-Raster Compact Data Structure for Hyperspectral Scenes

Kevin Chow;Dion Eustathios Olivier Tzarmarias;Miguel Hernández-Cabronero;Ian Blanes;Joan Serra-Sagristà

IEEE Geoscience and Remote Sensing Letters
Year: 2022 | Volume: 19 | Journal Article |
Cited by: Papers (1)
This letter proposes methods to improve data size and access time for $k^{2}$ -raster, a losslessly compressed data structure that provides efficient storage and real-time processing. Hyperspectral scenes from real missions are used as our testing data. In previous studies, with $k^{2}$ -raster, the size of the hyperspectral data was reduced by up to 52% compared with the uncompressed data. In t...Show More

Performance Improvement on k²-Raster Compact Data Structure for Hyperspectral Scenes

Kevin Chow;Dion Eustathios Olivier Tzarmarias;Miguel Hernández-Cabronero;Ian Blanes;Joan Serra-Sagristà

Year: 2022 | Volume: 19 | Journal Article |

Orthogonality and Zero DC Tradeoffs in Biorthogonal Graph Filterbanks

Dion E. O. Tzamarias;Eduardo Pavez;Benjamin Girault;Antonio Ortega;Ian Blanes;Joan Serra-Sagristà

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
Biorthogonal graph wavelet filterbanks, also known as GraphBior, are one of the most popular graph transforms used in image compression, but up to now, they could be designed based on two known admissible fundamental matrices: i) the random walk Laplacian, which heavily penalizes low degree pixels, and ii) the normalized Laplacian, which lacks a zero-DC response. By exploiting a new extension of t...Show More

Orthogonality and Zero DC Tradeoffs in Biorthogonal Graph Filterbanks

Dion E. O. Tzamarias;Eduardo Pavez;Benjamin Girault;Antonio Ortega;Ian Blanes;Joan Serra-Sagristà

Year: 2021 | Conference Paper |

Compression of point cloud geometry through a single projection

Dion E.O. Tzamarias;Kevin Chow;Ian Blanes;Joan Serra-Sagristà

2021 Data Compression Conference (DCC)
Year: 2021 | Conference Paper |
Cited by: Papers (6)
Point cloud data have been put under the spotlight by many applications that play an increasingly important role in our every day lives. Their large size and ever-growing prevalent use cases have raised the interest in specialized compression algorithms for point cloud data. In this paper we propose a lossless intra-frame encoder for point cloud geometry. It relies on a single projection of the en...Show More

Compression of point cloud geometry through a single projection

Dion E.O. Tzamarias;Kevin Chow;Ian Blanes;Joan Serra-Sagristà

Year: 2021 | Conference Paper |

The CCSDS 123.0-B-2 “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” Standard: A comprehensive review

Miguel Hernández-Cabronero;Aaron B. Kiely;Matthew Klimesh;Ian Blanes;Jonathan Ligo;Enrico Magli;Joan Serra-Sagristà

IEEE Geoscience and Remote Sensing Magazine
Year: 2021 | Volume: 9, Issue: 4 | Magazine Article |
Cited by: Papers (28)
The Consultative Committee for Space Data Systems (CCSDS) published the CCSDS 123.0-B-2, “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” standard. This standard extends the previous issue, CCSDS 123.0-B-1, which supported only lossless compression, while maintaining backward compatibility. The main novelty of the new issue is support for near-lossless ...Show More

The CCSDS 123.0-B-2 “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” Standard: A comprehensive review

Miguel Hernández-Cabronero;Aaron B. Kiely;Matthew Klimesh;Ian Blanes;Jonathan Ligo;Enrico Magli;Joan Serra-Sagristà

Year: 2021 | Volume: 9, Issue: 4 | Magazine Article |

Redundancy and Optimization of tANS Entropy Encoders

Ian Blanes;Miguel Hernández-Cabronero;Joan Serra-Sagristà;Michael W. Marcellin

IEEE Transactions on Multimedia
Year: 2021 | Volume: 23 | Journal Article |
Cited by: Papers (3)
Nowadays entropy encoders are part of almost all data compression methods, with the Asymmetrical Numeral Systems (ANS) family of entropy encoders having recently risen in popularity. Entropy encoders based on the tabled variant of ANS are known to provide varying performances depending on their internal design. In this paper, we present a method that calculates encoder redundancies in almost linea...Show More

Redundancy and Optimization of tANS Entropy Encoders

Ian Blanes;Miguel Hernández-Cabronero;Joan Serra-Sagristà;Michael W. Marcellin

Year: 2021 | Volume: 23 | Journal Article |

High-Throughput Variable-to-Fixed Entropy Codec Using Selective, Stochastic Code Forests

Manuel Martínez Torres;Miguel Hernández-Cabronero;Ian Blanes;Joan Serra-Sagristà

IEEE Access
Year: 2020 | Volume: 8 | Journal Article |
Cited by: Papers (1)
Efficient high-throughput (HT) compression algorithms are paramount to meet the stringent constraints of present and upcoming data storage, processing, and transmission systems. In particular, latency, bandwidth and energy requirements are critical for those systems. Most HT codecs are designed to maximize compression speed, and secondarily to minimize compressed lengths. On the other hand, decomp...Show More

High-Throughput Variable-to-Fixed Entropy Codec Using Selective, Stochastic Code Forests

Manuel Martínez Torres;Miguel Hernández-Cabronero;Ian Blanes;Joan Serra-Sagristà

Year: 2020 | Volume: 8 | Journal Article |

Lower Bounds on the Redundancy of Huffman Codes With Known and Unknown Probabilities

Ian Blanes;Miguel Hernández-Cabronero;Joan Serra-Sagristà;Michael W. Marcellin

IEEE Access
Year: 2019 | Volume: 7 | Journal Article |
Cited by: Papers (5)
In this paper, we provide a method to obtain tight lower bounds on the minimum redundancy achievable by a Huffman code when the probability distribution underlying an alphabet is only partially known. In particular, we address the case where the occurrence probabilities are unknown for some of the symbols in an alphabet. Bounds can be obtained for alphabets of a given size, for alphabets of up to ...Show More

Lower Bounds on the Redundancy of Huffman Codes With Known and Unknown Probabilities

Ian Blanes;Miguel Hernández-Cabronero;Joan Serra-Sagristà;Michael W. Marcellin

Year: 2019 | Volume: 7 | Journal Article |

Mosaic-Based Color-Transform Optimization for Lossy and Lossy-to-Lossless Compression of Pathology Whole-Slide Images

Miguel Hernández-Cabronero;Victor Sanchez;Ian Blanes;Francesc Aulí-Llinàs;Michael W. Marcellin;Joan Serra-Sagristà

IEEE Transactions on Medical Imaging
Year: 2019 | Volume: 38, Issue: 1 | Journal Article |
Cited by: Papers (14)
The use of whole-slide images (WSIs) in pathology entails stringent storage and transmission requirements because of their huge dimensions. Therefore, image compression is an essential tool to enable efficient access to these data. In particular, color transforms are needed to exploit the very high degree of inter-component correlation and obtain competitive compression performance. Even though th...Show More

Mosaic-Based Color-Transform Optimization for Lossy and Lossy-to-Lossless Compression of Pathology Whole-Slide Images

Miguel Hernández-Cabronero;Victor Sanchez;Ian Blanes;Francesc Aulí-Llinàs;Michael W. Marcellin;Joan Serra-Sagristà

Year: 2019 | Volume: 38, Issue: 1 | Journal Article |

Lossless Compression of Color Filter Array Mosaic Images With Visualization via JPEG 2000

Miguel Hernández-Cabronero;Michael W. Marcellin;Ian Blanes;Joan Serra-Sagristà

IEEE Transactions on Multimedia
Year: 2018 | Volume: 20, Issue: 2 | Journal Article |
Cited by: Papers (21)
Digital cameras have become ubiquitous for amateur and professional applications. The raw images captured by digital sensors typically take the form of color filter array (CFA) mosaic images which must be “developed” (via digital signal processing) before they can be viewed. Photographers and scientists often repeat the “development process” using different parameters to obtain images suitable for...Show More

Lossless Compression of Color Filter Array Mosaic Images With Visualization via JPEG 2000

Miguel Hernández-Cabronero;Michael W. Marcellin;Ian Blanes;Joan Serra-Sagristà

Year: 2018 | Volume: 20, Issue: 2 | Journal Article |

Hyperspectral image coding using graph wavelets

Jin Zeng;Gene Cheung;Yung-Hsuan Chao;Ian Blanes;Joan Serra-Sagristà;Antonio Ortega

2017 IEEE International Conference on Image Processing (ICIP)
Year: 2017 | Conference Paper |
Cited by: Papers (8)
Hyperspectral imaging captures the spectral responses of different wavelengths per pixel for an entire image. Because the number of spectral bands is large, efficient compression of hyperspectral images is important. Leveraging on recent advances in graph signal processing (GSP), in this paper we propose to encode a hyperspectral image in groups of ω spectral bands using graph wavelets, exploiting...Show More

Hyperspectral image coding using graph wavelets

Jin Zeng;Gene Cheung;Yung-Hsuan Chao;Ian Blanes;Joan Serra-Sagristà;Antonio Ortega

Year: 2017 | Conference Paper |

A Lightweight Contextual Arithmetic Coder for On-Board Remote Sensing Data Compression

Joan Bartrina-Rapesta;Ian Blanes;Francesc Aulí-Llinàs;Joan Serra-Sagristà;Victor Sanchez;Michael W. Marcellin

IEEE Transactions on Geoscience and Remote Sensing
Year: 2017 | Volume: 55, Issue: 8 | Journal Article |
Cited by: Papers (12)
The Consultative Committee for Space Data Systems (CCSDS) has issued several data compression standards devised to reduce the amount of data transmitted from satellites to ground stations. This paper introduces a contextual arithmetic encoder for on-board data compression. The proposed arithmetic encoder checks the causal adjacent neighbors, at most, to form the context and uses only bitwise opera...Show More

A Lightweight Contextual Arithmetic Coder for On-Board Remote Sensing Data Compression

Joan Bartrina-Rapesta;Ian Blanes;Francesc Aulí-Llinàs;Joan Serra-Sagristà;Victor Sanchez;Michael W. Marcellin

Year: 2017 | Volume: 55, Issue: 8 | Journal Article |

Coding Scheme for the Transmission of Satellite Imagery

Francesc Aulí-Llinàs;Michael W. Marcellin;Victor Sanchez;Joan Serra-Sagristà;Joan Bartrina-Rapesta;Ian Blanes

2016 Data Compression Conference (DCC)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
The coding and transmission of the massive datasets captured by Earth Observation (EO) satellites is a critical issue in current missions. The conventional approach is to use compression on board the satellite to reduce the size of the captured images. This strategy exploits spatial and/or spectral redundancy to achieve compression. Another type of redundancy found in such data is the temporal red...Show More

Coding Scheme for the Transmission of Satellite Imagery

Francesc Aulí-Llinàs;Michael W. Marcellin;Victor Sanchez;Joan Serra-Sagristà;Joan Bartrina-Rapesta;Ian Blanes

Year: 2016 | Conference Paper |

Mitigating discontinuities in segmented Karhunen-Loeve Transforms

Monika Stadnicka;Ian Blanes;Joan Serra-Sagristà;Michael W. Marcellin

2016 IEEE International Conference on Image Processing (ICIP)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
The Karhunen-Loeve Transform (KLT) is a popular transform used in multiple image processing scenarios. Sometimes, the application of the KLT is not carried out as a single transform over an entire image. Rather, the image is divided into smaller spatial regions (segments), each of which is transformed by a smaller dimensional KLT. Such a situation may penalize the transform efficiency. An improvem...Show More

Mitigating discontinuities in segmented Karhunen-Loeve Transforms

Monika Stadnicka;Ian Blanes;Joan Serra-Sagristà;Michael W. Marcellin

Year: 2016 | Conference Paper |

Progressive Lossy-to-Lossless Compression of DNA Microarray Images

Miguel Hernández-Cabronero;Ian Blanes;Armando J. Pinho;Michael W. Marcellin;Joan Serra-Sagristà

IEEE Signal Processing Letters
Year: 2016 | Volume: 23, Issue: 5 | Journal Article |
Cited by: Papers (9)
The analysis techniques applied to DNA microarray images are under active development. As new techniques become available, it will be useful to apply them to existing microarray images to obtain more accurate results. The compression of these images can be a useful tool to alleviate the costs associated to their storage and transmission. The recently proposed Relative Quantizer (RQ) coder provides...Show More

Progressive Lossy-to-Lossless Compression of DNA Microarray Images

Miguel Hernández-Cabronero;Ian Blanes;Armando J. Pinho;Michael W. Marcellin;Joan Serra-Sagristà

Year: 2016 | Volume: 23, Issue: 5 | Journal Article |

Analysis-Driven Lossy Compression of DNA Microarray Images

Miguel Hernández-Cabronero;Ian Blanes;Armando J. Pinho;Michael W. Marcellin;Joan Serra-Sagristà

IEEE Transactions on Medical Imaging
Year: 2016 | Volume: 35, Issue: 2 | Journal Article |
Cited by: Papers (5)
DNA microarrays are one of the fastest-growing new technologies in the field of genetic research, and DNA microarray images continue to grow in number and size. Since analysis techniques are under active and ongoing development, storage, transmission and sharing of DNA microarray images need be addressed, with compression playing a significant role. However, existing lossless coding algorithms yie...Show More

Analysis-Driven Lossy Compression of DNA Microarray Images

Miguel Hernández-Cabronero;Ian Blanes;Armando J. Pinho;Michael W. Marcellin;Joan Serra-Sagristà

Year: 2016 | Volume: 35, Issue: 2 | Journal Article |

Strategy of Microscopic Parallelism for Bitplane Image Coding

Francesc Aulí-Llinàs;Pablo Enfedaque;Juan C. Moure;Ian Blanes;Victor Sanchez

2015 Data Compression Conference
Year: 2015 | Conference Paper |
Cited by: Papers (5)
Recent years have seen the upraising of a new type of processors strongly relying on the Single Instruction, Multiple Data (SIMD) architectural principle. The main idea behind SIMD computing is to apply a flow of instructions to multiple pieces of data in parallel and synchronously. This permits the execution of thousands of operations in parallel, achieving higher computational performance than w...Show More

Strategy of Microscopic Parallelism for Bitplane Image Coding

Francesc Aulí-Llinàs;Pablo Enfedaque;Juan C. Moure;Ian Blanes;Victor Sanchez

Year: 2015 | Conference Paper |

A Fully Embedded Two-Stage Coder for Hyperspectral Near-Lossless Compression

Jente Beerten;Ian Blanes;Joan Serra-Sagristà

IEEE Geoscience and Remote Sensing Letters
Year: 2015 | Volume: 12, Issue: 8 | Journal Article |
Cited by: Papers (15)
This letter proposes a near-lossless coder for hyperspectral images. The coding technique is fully embedded and minimizes the distortion in the l2-norm initially and in the $l_\infty$-norm subsequently. Based on a two-stage near-lossless compression scheme, it includes a lossy and a near-lossless layer. The novelties are the observation of the convergence of the entropy of the residuals in the ori...Show More

A Fully Embedded Two-Stage Coder for Hyperspectral Near-Lossless Compression

Jente Beerten;Ian Blanes;Joan Serra-Sagristà

Year: 2015 | Volume: 12, Issue: 8 | Journal Article |

Isorange Pairwise Orthogonal Transform

Ian Blanes;Miguel Hernández-Cabronero;Francesc Aulí-Llinàs;Joan Serra-Sagristà;Michael W. Marcellin

IEEE Transactions on Geoscience and Remote Sensing
Year: 2015 | Volume: 53, Issue: 6 | Journal Article |
Cited by: Papers (8)
Spectral transforms are tools commonly employed in multi- and hyperspectral data compression to decorrelate images in the spectral domain. The pairwise orthogonal transform (POT) is one such transform that has been specifically devised for resource-constrained contexts similar to those found on board satellites or airborne sensors. Combining the POT with a 2-D coder yields an efficient compressor ...Show More

Isorange Pairwise Orthogonal Transform

Ian Blanes;Miguel Hernández-Cabronero;Francesc Aulí-Llinàs;Joan Serra-Sagristà;Michael W. Marcellin

Year: 2015 | Volume: 53, Issue: 6 | Journal Article |

A Tutorial on Image Compression for Optical Space Imaging Systems

Ian Blanes;Enrico Magli;Joan Serra-Sagrista

IEEE Geoscience and Remote Sensing Magazine
Year: 2014 | Volume: 2, Issue: 3 | Magazine Article |
Cited by: Papers (94)
Public policies and private initiatives share the will to explore outer space and to monitor the Earth from space sensors. Recent years have seen an increased number of space missions, while the sensors on board aircrafts or spacecrafts have also significantly improved their acquisition capabilities. Given this huge volume of remote sensing data and the detailed characteristics of the acquired ima...Show More

A Tutorial on Image Compression for Optical Space Imaging Systems

Ian Blanes;Enrico Magli;Joan Serra-Sagrista

Year: 2014 | Volume: 2, Issue: 3 | Magazine Article |

Cell-Based 2-Step Scalar Deadzone Quantization for JPEG2000

Joan Bartrina Rapesta;Francesc Auli-Llinas;Ian Blanes;Joan Serra Sagrista

2014 Data Compression Conference
Year: 2014 | Conference Paper |
Cited by: Papers (2)
Wavelet-based coding systems commonly employ uniform scalar deadzone quantization (USDQ) together with a bitplane coding strategy to progressively refine image quality. Our previous work presents a quantization scheme that employs 2 step sizes depending on the magnitude of the coefficients. This 2-step scalar deadzone quantization (2SDQ) scheme is introduced in the framework of JPEG2000 by modifyi...Show More

Cell-Based 2-Step Scalar Deadzone Quantization for JPEG2000

Joan Bartrina Rapesta;Francesc Auli-Llinas;Ian Blanes;Joan Serra Sagrista

Year: 2014 | Conference Paper |

DNA Microarray Image Coding

Miguel Hern´ndez-Cabronero;Juan Munoz-Gomez;Ian Blanes;Michael W. Marcellin;Joan Serra-Sagrista

2012 Data Compression Conference
Year: 2012 | Conference Paper |
Cited by: Papers (2)
DNA micro arrays are useful to identify the function and regulation of a large number of genes in a single experiment, even whole genomes. In this work, we analyze the relationship between DNA micro array image histograms and the compression performance of loss less JPEG2000. Also, a reversible transform based on histogram swapping is proposed. Intensive experimental results using different coding...Show More

DNA Microarray Image Coding

Miguel Hern´ndez-Cabronero;Juan Munoz-Gomez;Ian Blanes;Michael W. Marcellin;Joan Serra-Sagrista

Year: 2012 | Conference Paper |

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